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  1. Viet Hoang Dinh [Author]; Nibbering, Didier [Author]; Wong, Benjamin [Author]

    Random subspace local projections

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    Canberra: Australian National University, Crawford School of Public Policy, 2023

    Published in: Australian National University: CAMA working paper series ; 20230034

  2. Elhadji Ille Gado, Nassara [Author] ; Troyes [Contributor]; Grall Maës, Edith [Contributor]; Kharouf, Malika [Contributor]

    Méthodes aléatoires pour l’apprentissage de données en grande dimension : application à l'apprentissage partagé ; Random methods for machine learning of high dimensional data : application to transfer learning

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    theses.fr, 2017-12-05

  3. Zarkova, Silvia [Author]; Kostov, Dimitar [Author]; Angelov, Petko [Author]; Pavlov, Tsvetan [Author]; Zahariev, Andrey [Author]

    Machine learning algorithm for mid-term projection of the EU member states’ indebtedness

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    2023

    Published in: Risks ; 11(2023), 4 vom: Apr., Artikel-ID 71, Seite 1-17

  4. Yahaya, Farouk [Author] ; Littoral [Contributor]; Roussel, Gilles [Contributor]; Puigt, Matthieu [Contributor]

    Méthodes étendues de factorisation informée de matrices ou tenseurs (semi-) non-négatifs pour l'analyse de données incomplètes et de grande dimension : Application au traitement de données issues du mobile crowdsensing ; Compressive informed (semi-)non-negative matrix factorization methods for incomplete and large-scale data : with application to mobile crowd-sensing data

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    theses.fr, 2021-11-19

  5. Blanchard, Pierre [Author] ; Bordeaux [Contributor]; Coulaud, Olivier [Contributor]; Darve, Eric [Contributor]

    Fast hierarchical algorithms for the low-rank approximation of matrices, with applications to materials physics, geostatistics and data analysis ; Algorithmes hiérarchiques rapides pour l’approximation de rang faible des matrices, applications à la physique des matériaux, la géostatistique et l’analyse de données

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    theses.fr, 2017-02-16